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Modeling Trophic Interactions in Lake Kivu

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Modeling Trophic Interactions in Lake Kivu Ecological Modelling Archimer April 2008, Volume 212, Issues 3-4, Pages 422-438 Archive Institutionnelle de l’Ifremer http://dx.doi.org/10.1016/j.ecolmodel.2007.10.047 http://www.ifremer.fr/docelec/ © 2008 Elsevier B.V. All rights reserved. Modeling trophic interactions in Lake Kivu: What roles do exotics play? ailable on the publisher Web site Maria Concepcion S. Villanuevaa, b, *, Mwapu Isumbishoc, Boniface Kaninginic, Jacques Moreaub and Jean-Claude Michad a Laboratoire des Ressources Halieutiques, IFREMER, Avenue du Général de Gaulle, BP 32, 14520 Port-en- Bessin Huppain, France b Department of Tropical Fisheries, Laboratoire d’Agronomie, Environnement et Ecotoxicologie, INP/ENSAT, BP 32607, 31326 Castanet Tolosan, France c UERHA, Département de Biologie, Institut Supérieur Pédagogique de Bukavu, BP 854, Bukavu, People's Republic of Congo d URBO, FUNDP, Rue de Bruxelles 61, B-5000 Namur, Belgium blisher-authenticated version is av *: Corresponding author : Maria Concepcion S. Villanueva, Tel.: +33 2315 15637; fax: +33 2315 15601, email address : [email protected] Abstract: An Ecopath model of the southern part of Lake Kivu, a deep African equatorial lake was constructed to quantitatively describe the possible impact of fish introductions in this ecosystem. This study is considered as an initial step in summarizing ecological and biological information, under a coherent framework, on this ecosystem. Fourteen compartments were considered. As a phytoplankton-based food web, it is observed that key food sources are not fully utilized as transfer efficiencies per trophic levels (TL) varies between 4.5 and 9.4%. Zooplankton plays a major role in transferring organic matter from TL1 to higher TLs due to the abundance of zooplanktivores. Shifts in food preferences and distribution of some of the fish functional groups were observed as a response to competition. The majority of fish biomass concentration is in TL3 (55%). The fishery is concentrated at TL3 and can, therefore, be consider as “immature”, sensu Odum. The direct and indirect effects of predation between system components (i.e. fish, invertebrates, phytoplankton and detritus) are quantitatively described and the possible influence and role in the ecosystem's functioning of introduced fish species ccepted for publication following peer review. The definitive pu are discussed. Keywords: Food web structure; Transfer efficiency; Invasion; Exotic fishes; Lake Kivu Introduction Introduction of alien species in aquatic ecosystems is stimulated by increasing demand for food to sustain increasing human population and poverty, enhance fish stocks, generate economic benefits, as biomanipulation stratagem and sustain recreational fisheries (Welcomme, 1988 Welcomme, R.L., 1988. International Transfers of Inland Fish Species. FAO Fisheries Technical Papers 294, 318 pp.[Welcomme, 1988], [Pitcher and Hart, 1995], [Irz et al., 2004] and [Saltveit, 2006]). However, this strategy is often unacceptable as it leads to detrimental impacts on ecology of wild stocks that frails ecosystem structure ([Wilcove et al., 1998], [Lodge et al., 1998], [Allen and Humble, 2002], [Kolar and Lodge, 2002], [Sax and Gaines, Please note that this is an author-produced PDF of an article a 1 25 2003; Gurevitch and Padilla, 2004; Didham et al., 2005; Arim et al., 2006), fisheries economy 26 (Mack et al., 2000; Pimentel et al., 2001) and recreation (Winfield and Durie, 2004). 27 28 Widespread introductions of non indigenous species have been categorized as a major 29 cause of natural species extinction compared to habitat fragmentation (MacDonald et al., 1989; 30 Lodge et al., 1998; Davis and Thompson, 2000; Allen and Humble, 2002; Sax and Gaines, 2003; 31 Gurevitch and Padilla, 2004; Didham et al., 2005; Arim et al., 2006) in both terrestrial 32 (Rejmánek and Richardson, 1996; McCann, 2000; Smith et al., 2000; Allen and Humble, 2002; 33 Guo et al., 2006; Lovett et al., 2006) and aquatic systems (Mills et al., 1993; Pitcher and Hart, 34 1995; Puth and Post, 2005; Latini and Petrere Jr., 2004; Dudgeon et al., 2006). Although in the 35 latter, biological invasions have been recognized as a persisting problem compared to pathologic 36 crisis in terrestrial ecosystems (Dudegeon et al., 2006). 37 38 Questions on success of exotics and the damaging impacts to native stocks at the 39 ecosystem level have fascinated many ecologists, such as Crawley (1987), Naeem et al. (2000) 40 and Kennedy et al. (2002). Ecological systems are extremely complex networks, consisting of 41 many biological species that interact in many different ways, such as mutualism, competition, 42 parasitism and feeding relationships. The latter can cause invasions, extirpations, and population 43 fluctuations of a species to dramatically affect other species within a variety of natural habitats 44 (Pimentel et al., 2001; Winfield and Durie, 2004). According to Hobbs (1989), successful 45 invasion in natural communities depend on species dispersal, establishment and survival with the 46 number of species per area established by immigration-extinction equilibrium. Success of exotics 47 also depends on tolerance and broad ecological demands, ability to adapt to habitat and 48 environmental conditions and r-selected life histories (Craig, 1992; Murichi et al., 1995). 2 49 50 Cases where introduction of exotics have been reported beneficial are rare in both 51 terrestrial (Schutzenhofer and Valone, 2006) and aquatic ecosystems (Gottlieb and 52 Schweighofer, 1996). Elevated biodiversity has been observed to increase resistance from 53 invasions in terrestrial and aquatic systems by creating insurance through functional redundancy 54 (Simberloff and Von Holle, 1999; Sax and Brown, 2000; Naeem et al., 2000; Kennedy et al., 55 2002; Raffaelli et al., 2002; Stachowicz et al., 2002). 56 57 The importance of considering a trophic network approach is that it can elucidate feeding 58 relationships which occur between species in an ecological community and determine functional 59 roles of species groups in the ecosystem (Yodzis and Winemiller, 1999). Indeed, numerous 60 evidences suggest that food web structures are susceptible to a wide array of human activities, 61 including species introductions or invasions (Vander Zanden et al., 1999), habitat alteration 62 (Wootton et al., 1996), and global environmental warming (Petchey et al., 1999). 63 64 Quantitative trophic analyses at the ecosystem level were carried out in some African 65 Lakes where exotic species were introduced (Moreau, 1995; Moreau et al., 1993; 2001; 66 Villaneuva and Moreau, 2001). A similar approach has been carried out in other African lakes, 67 i.e. Lake Victoria (Moreau, 1995; Villanueva and Moreau 2001), Lake Naivasha (Mavuti et al., 68 1996; Moreau et al., 2001) or Lake Kariba (Moreau, 1997), to determine the state of biologic 69 community alterations following fish introductions. As effects of fish introductions and its 70 exploitation on the community and ecosystem level are still unknown in Lake Kivu. The aim of 71 the present contribution is to study the food web structure, species interactions, role of exotics in 72 the ecosystem and compare these to observations in other tropical lakes where fish introductions 3 73 occurred. Understanding trophic links is crucial in predicting future impact of species invasion in 74 natural food web structure and functioning. 75 76 Material and Methods 77 Study site 78 79 Lake Kivu (Fig.1) has a surface area of 2 370 km² of which 1370 km² is a part of the 80 Congolese territory. An international aquatic system situated along the Congo-Rwanda border at 81 an altitude of 1 463 m. It is located between 1°30’ and 2°30’ latitude south and between 28°50’ 82 and 29°23’ longitude east. It is a deep (maximum depth 490 m) equatorial lake with an average 83 water depth of about 240 m. The littoral area stretches not further than 50 m away from the 84 lake’s extensive (1200 km) shoreline (Van den Bossche and Bernascek, 1990; Verheyen et al., 85 2003). It is a meromictic lake with deep relict hypolimnion where beneath lies a vast methane 86 gas reserves (Coulter et al., 1984; Snoeks, 1994). Permanent water stratification is observed: 87 anoxic below 60 m while the deeper part of the lake is methane saturated (Coulter et al., 1984; 88 Van den Bossche and Bernascek, 1990; Isumbisho et al., 2006; Sarmento et al., 2006). Annual 89 precipitation in the region is about 1 300 mm, relatively higher along the occidental than the 90 oriental side of the lake, which experiences virtually no variations in water level. The average 91 surface water temperature is about 24°C (Snoeks, 1994). 92 93 Several lakes of the East African Rift Valley are characterized by a deep pelagic zone 94 which is colonized by abundant native small pelagic fish (Coulter et al., 1984; Lowe-McConnell, 95 1993). A well documented exception among these lakes is Lake Kivu. Compared to other lakes 96 of the Rift Valley the fish diversity is relatively poor with only 26 endemic species belonging to 4 97 the Cichlidae, Clariidae, Cyprinidae and Clupeidae families (Hanek et al., 1991; Snoeks, 1994). 98 The Cichlids are the most represented with 17 endemic haplochromines (De Vos et al., 2001). 99 100 Exotic fishes were introduced to increase biodiversity and productivity of the lake 101 (Welcomme, 1988). Fish stocking in Lake Kivu dates back in the 1950s where two cichlids, 102 Oreochromis macrochir (Boulenger) and Tilapia rendalli (Boulenger), were introduced due to 103 the renowned ecological plasticity of these species (Chapman et al., 2003; De Vos et al., 2001). 104 Two endemic sardines of Lake Tanganyika, Limnothrisssa miodon (Boulenger) and Stolothrissa 105 tanganyicae (Regan), were then simultaneously introduced in 1959 (Van den Bossche and 106 Bernascek, 1990; Spliethoff et al., 1983) to occupy the pelagic zone (90%). S. tanganyicae, 107 however, was not able to adapt to the local conditions in the lake (Hauser et al., 1995). 108 109 The Lake Kivu fishery is predominantly artisanal (Van den Bossche and Bernacsek, 110 1990; Hanek et al., 1991; de Iongh et al., 1995) which is similar to other East African Lakes 111 (Pitcher and Hart, 1995; Preikshot et al., 1998).
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